Machine Learning Engineer, New Grad - Quora

Accountabilities

• Help design, build, and optimize AI-driven features that enhance user experiences and improve platform intelligence.
• Work across the machine learning lifecycle, from experimentation and model development to production deployment and performance optimization.
• Build and iterate on consumer-facing AI features powered by large language models (LLMs) and generative AI technologies.
• Collaborate across the AI engineering stack, including prompt engineering, agent workflows, model evaluation, and optimization.
• Design and run structured experiments, including A/B tests and offline evaluations, to measure improvements in engagement, quality, and trust.
• Partner with product and engineering teams to translate user needs into scalable machine learning solutions.
• Improve AI system reliability through monitoring, quality analysis, guardrails, and investigation of failure modes.
• Optimize production AI systems for performance, cost efficiency, latency, and scalability.
• Contribute to a culture of technical excellence, experimentation, continuous learning, and knowledge sharing.

Requirements

• Motivated early-career engineer with strong foundations in machine learning, software development, and analytical problem-solving.
• Currently pursuing or recently completed a B.S., M.S., or Ph.D. in Computer Science, Engineering, or a related technical field, with graduation expected in 2025 or 2026.
• Strong understanding of the mathematical foundations behind machine learning algorithms.
• Experience working with LLM applications, transformer models, or related AI technologies.
• Proficiency in Python or C++, or the ability to quickly learn new programming languages.
• Strong written English skills, with the ability to evaluate tone, accuracy, clarity, and nuance in content.
• Passion for continuous improvement, experimentation, and learning new technologies.
• Able to collaborate effectively with engineering and product teams in a remote environment.
• Availability for collaboration during required coordination hours (Monday to Friday, 9 AM-3 PM Pacific Time).
• Previous software engineering experience through internships, professional experience, or coding competitions is a plus.
• Experience building AI agents or production-scale machine learning systems is an advantage.

Benefits

• Competitive salary range based on location, experience, education, and business needs.
• Canada compensation ranges include: Toronto and Vancouver locations: CA$137,852 - CA$157,061 plus equity and benefits. Other Canadian locations: CA$128,661 - CA$146,590 plus equity and benefits.
• Equity opportunities and potential refresh grants.
• Comprehensive medical, dental, and vision coverage.
• Remote-first work environment with remote work reimbursement.
• Paid time off and employee assistance programs.
• Opportunities to work on impactful AI and machine learning projects at global scale.
• A supportive, inclusive culture focused on collaboration, innovation, and continuous learning.